Measure

MaxMutualInformation

Maximum mutual information between the nominal attributes and the target attribute.

Value per dataset

credit-g (1) 0.09473884155264
pc1 (1)
first-order-theorem-proving (1)
hill-valley (1)
mushroom (1) 0.906074977384
pc3 (1)
steel-plates-fault (1)
madelon (1)
phoneme (1)
vineyard (1)
isolet (1)
synthetic_control (1)
abalone (1) 0.23398435498208
mfeat-fourier (1)
mozilla4 (1)
cylinder-bands (2) 0.21641365622803
spambase (1)
banknote-authentication (1)
MiceProtein (1) 2.9930267873166
adult (2) 0.16542318099233
MagicTelescope (1)
pbc (1)
fourclass_scale (1)
mfeat-morphological (1)
bolts (1)
pharynx (1)
diabetes_numeric (1)
pendigits (1)
anneal (7) 0.40908953764451
semeion (1)
satimage (1)
vehicle (1)
GesturePhaseSegmentationProcessed (1)
wilt (1)
electricity (1) 0.00250816956442
breast-w (1)
musk (1) 0.62009855901309
anneal (6) 0.40908953764451
profb (1) 0.03446761121749
jm1 (1)
anneal (3) 0.40908953764451
anneal (17) 0.40908953764451
autoPrice (1)
cleveland (1)
cardiotocography (1)
scene (1) 0.06866591760557
ilpd (1) 0.00477057255121
mfeat-zernike (1)
wisconsin (1)
anneal (15) 0.40908953764451
anneal (22) 0.40908953764451
car (1) 0.26218435655426
cnae-9 (1)
gina_agnostic (1)
kin8nm (1)
iris (2)
delta_elevators (1)
qsar-biodeg (1)
monks-problems-1 (1) 0.30564217262535
anneal (14) 0.40908953764451
texture (1)
lowbwt (1)
anneal (2) 0.40908953764451
Australian (3)
eucalyptus (1) 0.42753276429854
one-hundred-plants-shape (1)
analcatdata_dmft (1) 0.06165879105093
anneal (34) 0.40908953764451
anneal (29) 0.40908953764451
anneal (23) 0.40908953764451
pol (1)
mbagrade (1)
Amazon_employee_access (1) 0.14902849531962
letter (1)
one-hundred-plants-texture (1)
TEST1c848ab209-pandas_testing_dataset (3)
PhishingWebsites (1) 0.49948275653695
detroit (1)
sylva_agnostic (1)
anneal (28) 0.40908953764451
anneal (53) 0.40908953764451
tamilnadu-electricity (1) 4.2454309656967
iris-challenge (1)
cholesterol (1)
anneal (41) 0.40908953764451
anneal (10) 0.40908953764451
anneal (35) 0.40908953764451
wdbc (1)
anneal (43) 0.40908953764451
anneal (60) 0.40908953764451
TESTebb33ef4fa-XOR (1)
anneal (44) 0.40908953764451
wall-robot-navigation (1)
anneal (25) 0.40908953764451
TEST29f9ae6987-XOR (1)
har (1)
Bioresponse (1)
artificial-characters (1)
anneal (51) 0.40908953764451
TEST0a3f20a3a8-pandas_testing_dataset (3)
anneal (37) 0.40908953764451
anneal (61) 0.40908953764451
anneal (8) 0.40908953764451
vowel (2) 0
nomao (1) 0.26071664300521
anneal (5) 0.40908953764451
anneal (87) 0.40908953764451
TESTc16ac7f367-pandas_testing_dataset (3)
anneal (62) 0.40908953764451
anneal (73) 0.40908953764451
anneal (65) 0.40908953764451
pc4 (1)
TEST861d5ffaea-XOR (1)
anneal (77) 0.40908953764451
anneal (59) 0.40908953764451
anneal (74) 0.40908953764451
gas-drift (1)
anneal (4) 0.40908953764451
LED-display-domain-7digit (1)
anneal (32) 0.40908953764451
anneal (9) 0.40908953764451
optdigits (1)
anneal (13) 0.40908953764451
mfeat-karhunen (1)
anneal (39) 0.40908953764451
anneal (55) 0.40908953764451
anneal (90) 0.40908953764451
JapaneseVowels (1)
anneal (38) 0.40908953764451
anneal (36) 0.40908953764451
anneal (71) 0.40908953764451
anneal (88) 0.40908953764451
anneal (19) 0.40908953764451
anneal (49) 0.40908953764451
anneal (93) 0.40908953764451
anneal (26) 0.40908953764451
anneal (72) 0.40908953764451
anneal (18) 0.40908953764451
anneal (33) 0.40908953764451
anneal (69) 0.40908953764451
anneal (56) 0.40908953764451
anneal (126) 0.40908953764451
sleep (1)
anneal (89) 0.40908953764451
anneal (42) 0.40908953764451
anneal (100) 0.40908953764451
monks-problems-2 (1) 0.00684214329877
anneal (115) 0.40908953764451
mfeat-factors (1)
anneal (91) 0.40908953764451
anneal (119) 0.40908953764451
TEST9103715299-pandas_testing_dataset (2)
sick (1) 0.06006915971583
anneal (111) 0.40908953764451
anneal (40) 0.40908953764451
anneal (132) 0.40908953764451
anneal (103) 0.40908953764451
anneal (133) 0.40908953764451
TEST1c3062c843-pandas_testing_dataset (3)
anneal (67) 0.40908953764451
anneal (95) 0.40908953764451
anneal (76) 0.40908953764451
anneal (144) 0.40908953764451
fruitfly (1)
anneal (16) 0.40908953764451
anneal (27) 0.40908953764451
TESTfab02098c0-pandas_testing_dataset (2)
splice (1) 0.38964063813375
anneal (147) 0.40908953764451
one-hundred-plants-margin (1)
anneal (80) 0.40908953764451
anneal (104) 0.40908953764451
TEST44eb4b8b3f-XOR (1)
anneal (97) 0.40908953764451
anneal (70) 0.40908953764451
anneal (125) 0.40908953764451
anneal (113) 0.40908953764451
ozone-level-8hr (1)
TESTb5b3545d7e-pandas_testing_dataset (3)
anneal (24) 0.40908953764451
TEST00a13efce9-pandas_testing_dataset (1)
triazines (1)
anneal (107) 0.40908953764451
anneal (173) 0.40908953764451
TESTfab02098c0-pandas_testing_dataset (3)
anneal (99) 0.40908953764451
anneal (176) 0.40908953764451
dresses-sales (2) 0.04980682279954
TESTa86b01f9a8-pandas_testing_dataset (3)
anneal (159) 0.40908953764451
anneal (158) 0.40908953764451
anneal (165) 0.40908953764451
TEST495d1e52d8-pandas_testing_dataset (1) 0.97095059445467
climate-model-simulation-crashes (1)
anneal (94) 0.40908953764451
anneal (146) 0.40908953764451
anneal (181) 0.40908953764451
anneal (178) 0.40908953764451
anneal (129) 0.40908953764451
anneal (131) 0.40908953764451
anneal (163) 0.40908953764451
TEST9b06efad03-pandas_testing_dataset (1) 0.97095059445467
TEST6abd679a4e-ModifiedWeather (1) 0.24674981977444
TEST388a9defc1-pandas_testing_dataset (4)
TEST84e16ea643-UploadTestWithURL (1)
mfeat-pixel (1) 0.69725435953817
anneal (105) 0.40908953764451
micro-mass (2)
anneal (148) 0.40908953764451
TESTd4a9ca9c2d-pandas_testing_dataset (3)
cmc (1) 0.07090633894894
TESTca4a634324-ModifiedWeather (1) 0.24674981977444
anneal (160) 0.40908953764451
anneal (136) 0.40908953764451
anneal (140) 0.40908953764451
anneal (121) 0.40908953764451
TEST5e105f0c38-pandas_testing_dataset (1) 0.97095059445467
anneal (164) 0.40908953764451
TEST78cf97e1d2-pandas_testing_dataset (3)
anneal (182) 0.40908953764451
TESTd746086797-XOR (1)
anneal (75) 0.40908953764451
anneal (112) 0.40908953764451
anneal (47) 0.40908953764451
anneal (153) 0.40908953764451
TEST9d1aa3a77e-XOR (1)
TEST495d1e52d8-pandas_testing_dataset (3)
TESTe3d8d93ab0-pandas_testing_dataset (3)
TEST0a395eb24e-XOR (1)
TEST5e105f0c38-pandas_testing_dataset (2)
cjs (3) 2.5203815255268
anneal (123) 0.40908953764451
TEST104676cb6a-pandas_testing_dataset (3)
anneal (201) 0.40908953764451
TEST2c4f0b6c26-pandas_testing_dataset (2)
anneal (155) 0.40908953764451
anneal (194) 0.40908953764451
anneal (167) 0.40908953764451
anneal (171) 0.40908953764451
anneal (162) 0.40908953764451
anneal (135) 0.40908953764451
anneal (223) 0.40908953764451
TESTdd0a5ebb6e-pandas_testing_dataset (2)
anneal (106) 0.40908953764451
TESTfab02098c0-pandas_testing_dataset (4)
anneal (161) 0.40908953764451
anneal (143) 0.40908953764451
anneal (197) 0.40908953764451
anneal (199) 0.40908953764451
anneal (137) 0.40908953764451
anneal (154) 0.40908953764451
anneal (134) 0.40908953764451
auto_price (1)
TEST104676cb6a-pandas_testing_dataset (4)
TESTd66c82a86b-ModifiedWeather (1) 0.24674981977444
TEST9b06efad03-pandas_testing_dataset (2)
kc1 (1)
anneal (228) 0.40908953764451
TEST0be3452fe0-pandas_testing_dataset (2)
anneal (212) 0.40908953764451
anneal (204) 0.40908953764451
anneal (79) 0.40908953764451
anneal (145) 0.40908953764451
anneal (229) 0.40908953764451
TESTdd0a5ebb6e-pandas_testing_dataset (1)
TEST388a9defc1-pandas_testing_dataset (2)
TEST104676cb6a-pandas_testing_dataset (1)
anneal (218) 0.40908953764451
TESTdd0a5ebb6e-pandas_testing_dataset (3)
anneal (198) 0.40908953764451
TEST0be3452fe0-pandas_testing_dataset (3)
anneal (98) 0.40908953764451
anneal (12) 0.40908953764451
anneal (214) 0.40908953764451
anneal (120) 0.40908953764451
anneal (209) 0.40908953764451
anneal (256) 0.40908953764451
anneal (110) 0.40908953764451
segment (1)
tic-tac-toe (1) 0.08718670223057
anneal (157) 0.40908953764451
TEST5e105f0c38-pandas_testing_dataset (3)
anneal (102) 0.40908953764451
anneal (262) 0.40908953764451
anneal (170) 0.40908953764451
TEST6ba4d7daec-XOR (1)
anneal (232) 0.40908953764451
anneal (237) 0.40908953764451
anneal (241) 0.40908953764451
anneal (221) 0.40908953764451
TESTc8f1eae46a-XOR (1)
TEST44aee7d221-ModifiedWeather (1) 0.24674981977444
TEST495d1e52d8-pandas_testing_dataset (2)
TEST2c4f0b6c26-pandas_testing_dataset (1) 0.97095059445467
autoMpg (1)
anneal (193) 0.40908953764451
anneal (219) 0.40908953764451
TEST2c4f0b6c26-pandas_testing_dataset (3)
TEST9103715299-pandas_testing_dataset (3)
anneal (208) 0.40908953764451
anneal (255) 0.40908953764451
anneal (203) 0.40908953764451
anneal (253) 0.40908953764451
anneal (270) 0.40908953764451
anneal (63) 0.40908953764451
anneal (210) 0.40908953764451
TEST388a9defc1-pandas_testing_dataset (3)
anneal (268) 0.40908953764451
anneal (271) 0.40908953764451
TESTe74389f4b6-XOR (1)
anneal (222) 0.40908953764451
anneal (195) 0.40908953764451
anneal (250) 0.40908953764451
anneal (205) 0.40908953764451
anneal (128) 0.40908953764451
anneal (233) 0.40908953764451
anneal (82) 0.40908953764451
TESTf738f069ca-pandas_testing_dataset (4)
anneal (225) 0.40908953764451
TESTdd0a5ebb6e-pandas_testing_dataset (4)
anneal (184) 0.40908953764451
anneal (68) 0.40908953764451
anneal (236) 0.40908953764451
anneal (186) 0.40908953764451
anneal (191) 0.40908953764451
anneal (166) 0.40908953764451
anneal (247) 0.40908953764451
anneal (248) 0.40908953764451
anneal (269) 0.40908953764451
anneal (11) 0.40908953764451
anneal (92) 0.40908953764451
anneal (267) 0.40908953764451
anneal (226) 0.40908953764451
anneal (257) 0.40908953764451
anneal (190) 0.40908953764451
anneal (263) 0.40908953764451
TESTdd2273bbad-pandas_testing_dataset (3)
TESTbdcda46197-pandas_testing_dataset (3)
quake (1)
TESTcbac53b2c5-XOR (1)
anneal (57) 0.40908953764451
TESTb7d5691345-XOR (1)
anneal (192) 0.40908953764451
anneal (230) 0.40908953764451
anneal (202) 0.40908953764451
anneal (251) 0.40908953764451
anneal (206) 0.40908953764451
anneal (139) 0.40908953764451
anneal (188) 0.40908953764451
TEST5037c378b1-pandas_testing_dataset (3)
TEST388a9defc1-pandas_testing_dataset (1)
anneal (152) 0.40908953764451
TEST9b06efad03-pandas_testing_dataset (3)
anneal (266) 0.40908953764451
anneal (187) 0.40908953764451
anneal (200) 0.40908953764451
anneal (254) 0.40908953764451
anneal (242) 0.40908953764451
anneal (240) 0.40908953764451
anneal (213) 0.40908953764451
anneal (183) 0.40908953764451
Click_prediction_small (5)
anneal (156) 0.40908953764451
TEST2f9e899c65-XOR (1)
anneal (246) 0.40908953764451
anneal (151) 0.40908953764451
anneal (52) 0.40908953764451
anneal (109) 0.40908953764451
anneal (215) 0.40908953764451
anneal (261) 0.40908953764451
anneal (168) 0.40908953764451
TEST3620d8fbd0-XOR (1)
anneal (258) 0.40908953764451
irish (1) 0.93376414483082
anneal (239) 0.40908953764451
anneal (252) 0.40908953764451
anneal (81) 0.40908953764451
anneal (244) 0.40908953764451
TEST104676cb6a-pandas_testing_dataset (2)
TESTc16ac7f367-pandas_testing_dataset (4)
TESTfab02098c0-pandas_testing_dataset (1)
anneal (275) 0.40908953764451
anneal (274) 0.40908953764451
anneal (312) 0.40908953764451
anneal (280) 0.40908953764451
anneal (286) 0.40908953764451
anneal (301) 0.40908953764451
anneal (282) 0.40908953764451
anneal (284) 0.40908953764451
anneal (273) 0.40908953764451
anneal (278) 0.40908953764451
anneal (333) 0.40908953764451
anneal (318) 0.40908953764451
anneal (359) 0.40908953764451
anneal (356) 0.40908953764451
anneal (385) 0.40908953764451
anneal (379) 0.40908953764451
anneal (298) 0.40908953764451
anneal (311) 0.40908953764451
anneal (320) 0.40908953764451
anneal (362) 0.40908953764451
anneal (355) 0.40908953764451
anneal (357) 0.40908953764451
anneal (337) 0.40908953764451
anneal (381) 0.40908953764451
anneal (335) 0.40908953764451
anneal (336) 0.40908953764451
anneal (384) 0.40908953764451
TESTfa348335d3-pandas_testing_dataset (3)
anneal (332) 0.40908953764451
anneal (346) 0.40908953764451
anneal (388) 0.40908953764451
anneal (305) 0.40908953764451
anneal (343) 0.40908953764451
anneal (288) 0.40908953764451
TEST845a642017-pandas_testing_dataset (3)
anneal (340) 0.40908953764451
anneal (374) 0.40908953764451
anneal (372) 0.40908953764451
anneal (371) 0.40908953764451
TEST5b30e679ed-pandas_testing_dataset (1)
anneal (383) 0.40908953764451
anneal (358) 0.40908953764451
anneal (395) 0.40908953764451
TEST6f97db9a3e-ModifiedWeather (1) 0.24674981977444
anneal (290) 0.40908953764451
anneal (324) 0.40908953764451
TEST5b30e679ed-pandas_testing_dataset (4)
TEST7dc1ecdb15-XOR (1)
anneal (354) 0.40908953764451
anneal (303) 0.40908953764451
anneal (319) 0.40908953764451
anneal (334) 0.40908953764451
anneal (405) 0.40908953764451
anneal (404) 0.40908953764451
anneal (308) 0.40908953764451
anneal (398) 0.40908953764451
anneal (291) 0.40908953764451
TEST6dc49fc872-pandas_testing_dataset (2)
anneal (402) 0.40908953764451
TESTb410f44fd0-pandas_testing_dataset (3)
anneal (317) 0.40908953764451
TESTb410f44fd0-pandas_testing_dataset (1)
TESTc5c73d43cf-XOR (1)
anneal (360) 0.40908953764451
anneal (403) 0.40908953764451
anneal (277) 0.40908953764451
anneal (407) 0.40908953764451
TEST5b30e679ed-pandas_testing_dataset (3)
anneal (410) 0.40908953764451
anneal (361) 0.40908953764451
TEST9161e0d711-pandas_testing_dataset (3)
TESTeedf1c617e-pandas_testing_dataset (3)
TEST58188dfbc6-pandas_testing_dataset (3)
TESTa5e33d6c29-pandas_testing_dataset (1) 0.97095059445467
TESTb410f44fd0-pandas_testing_dataset (2)
TEST6dc49fc872-pandas_testing_dataset (1) 0.97095059445467
TESTb918af0e2d-pandas_testing_dataset (4)
anneal (409) 0.40908953764451
anneal (347) 0.40908953764451
anneal (295) 0.40908953764451
anneal (348) 0.40908953764451
TEST0938a9daba-pandas_testing_dataset (3)
anneal (287) 0.40908953764451
TESTca5628eaef-pandas_testing_dataset (1) 0.97095059445467
anneal (314) 0.40908953764451
anneal (408) 0.40908953764451
TESTc9ed3920cd-XOR (1)
TESTeedf1c617e-pandas_testing_dataset (2)
TESTa5e33d6c29-pandas_testing_dataset (3)
TESTa10ede6728-XOR (1)
anneal (342) 0.40908953764451
TESTeedf1c617e-pandas_testing_dataset (4)
TESTb918af0e2d-pandas_testing_dataset (3)
anneal (422) 0.40908953764451
anneal (296) 0.40908953764451
anneal (276) 0.40908953764451
anneal (418) 0.40908953764451
anneal (304) 0.40908953764451
anneal (399) 0.40908953764451
TESTa5e33d6c29-pandas_testing_dataset (2)
anneal (390) 0.40908953764451
TEST10c25a3b38-pandas_testing_dataset (3)
anneal (424) 0.40908953764451
TESTed776f0840-pandas_testing_dataset (3)
anneal (412) 0.40908953764451
anneal (417) 0.40908953764451
anneal (283) 0.40908953764451
anneal (425) 0.40908953764451
anneal (400) 0.40908953764451
TESTed7333f3d2-ModifiedWeather (1) 0.24674981977444
anneal (420) 0.40908953764451
anneal (413) 0.40908953764451
anneal (423) 0.40908953764451
TESTf9ea71bde7-XOR (1)
anneal (325) 0.40908953764451
TEST5b30e679ed-pandas_testing_dataset (2)
anneal (434) 0.40908953764451
anneal (365) 0.40908953764451
anneal (426) 0.40908953764451
TEST855da0f4bb-ModifiedWeather (1) 0.24674981977444
TEST84e82f2c56-ModifiedWeather (1) 0.24674981977444
TESTb9093fb3b4-ModifiedWeather (1) 0.24674981977444
TEST178704e3b7-ModifiedWeather (1) 0.24674981977444
anneal (393) 0.40908953764451
TESTd655778eb6-ModifiedWeather (1) 0.24674981977444
anneal (438) 0.40908953764451
TEST17eccd9837-pandas_testing_dataset (3)
anneal (433) 0.40908953764451
TESTb918af0e2d-pandas_testing_dataset (2)
TESTca5628eaef-pandas_testing_dataset (2)
TESTf2a16c917e-XOR (1)
anneal (429) 0.40908953764451
anneal (443) 0.40908953764451
anneal (401) 0.40908953764451
anneal (363) 0.40908953764451
anneal (344) 0.40908953764451
anneal (380) 0.40908953764451
TEST6dc49fc872-pandas_testing_dataset (3)